Titel: |
Kitchen Task Assessment Dataset for Measuring Errors due to Cognitive Impairments:
[research data] |
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Beteiligte Personen: |
Kristina Yordanova[VerfasserIn] |
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0000-0002-6428-1062 |
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1056892773 |
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University of Rostock, Department of Visual and Analytic Computing |
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University of Rostock, Department of Computer Science |
Albert Hein[VerfasserIn] |
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1079876189 |
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University of Rostock, Department of Visual and Analytic Computing |
Thomas Kirste[VerfasserIn] |
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137244754 |
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University of Rostock, Department of Visual and Analytic Computing |
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Zusammenfassung: |
The dataset contains different types of sensor data: acceleration data from different
objects and from body-worn sensors as well as annotation. The dataset consists of
12 normal runs and 12 erroneous runs, where the participants simulated typical errors
due to dementia. The annotation consists of both action annotation in the form “action_object_object”
as well es annotation about the object being manipulated and the hand that is manipulating
it.
[Englisch] |
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Dokumenttyp: |
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Einrichtung: |
Fakultät für Informatik und Elektrotechnik |
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Sprache: |
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Sachgruppe der DNB: |
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Veröffentlichung / Entstehung: |
Rostock: University of Rostock
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2020
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Verantwortlichkeitsangabe: |
Kristina Yordanova, Albert Hein, Thomas Kirste |
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Identifikatoren: |
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Referenzen: |
Forschungsdaten zu:
Kristina Yordanova. Towards automated generation of semantic annotation for activity
recognition problems. In 2020 IEEE International Conference on Pervasive Computing
and Communications Workshops (PerCom Workshops), March 2020
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Forschungsdaten zu:
Kristina Yordanova, Albert Hein, and Thomas Kirste. Kitchen task assessment dataset
for measuring errors due to cognitive impairments. In 2020 IEEE International Conference
on Pervasive Computing and Communications Workshops (PerCom Workshops), March 2020
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Zugang: |
frei zugänglich (Open Access)
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Lizenz/Rechtehinweis: |
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RosDok-ID: |
rosdok_document_0000015736 |
erstellt / geändert am: |
27.01.2020 / 08.08.2023
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Metadaten-Lizenz: |
Die Metadaten zu diesem Dokument sind gemeinfrei (CC0 1.0 Universal Public Domain Dedication). |